The networked micro-decision context: a new lens on transformative urban governance
(2023) 5:9
Long et al. Urban Transformations
https://doi.org/10.1186/s42854-023-00054-y
PERSPECTIVE
Urban Transformations
Open Access
The networked micro‑decision context:
a new lens on transformative urban governance
Le Anh Nguyen Long1,2* , Rachel M. Krause3, Gwen Arnold4, Ryan Swanson4 and S. Mohsen Fatemi3
*Correspondence:
1
Department of Public
Administration, University
of Twente, Enschede, The
Netherlands
2
Faculty of Behavioural
Management and Social
Sciences, Cubicus Building, Room
C‑326, Drienerlolaan 5, 7522, NB,
Enschede, The Netherlands
3
School of Public Affairs
and Administration, University
of Kansas, Lawrence, KS, USA
4
Environmental Science
and Policy, University
of California, Davis, CA, USA
Abstract
Recent large-scale societal disruptions, from the COVID-19 pandemic to intensifying wildfires and weather events, reveal the importance of transforming governance
systems so they can address complex, transboundary, and rapidly evolving crises. Yet
current knowledge of the decision-making dynamics that yield transformative governance remains scant. Studies typically focus on the aggregate outputs of government
decisions, while overlooking their micro-level underpinnings. This is a key oversight
because drivers of policy change, such as learning or competition, are prosecuted by
people rather than organizations. We respond to this knowledge gap by introducing a new analytical lens for understanding policymaking, aimed at uncovering how
characteristics of decision-makers and the structure of their relationships affect their
likelihood of effectuating transformative policy responses. This perspective emphasizes
the need for a more dynamic and relational view on urban governance in the context
of transformation.
Highlights
1. Policy-makers’ attributes and social networks both shape urban transformative
capacity.
2. A city’s transformative capacity may be higher when actors involved in decisionmaking are more diverse.
3. Diversity spurs creativity and innovation by improving access to knowledge, learning
opportunities, and skills.
4. Relationship quality, more specifically mutual trust, may help explain why some cities
transform and others don’t.
5. Facilitative leadership is key in safeguarding trust and ensuring diversity among
decisionmakers.
Keywords: Urban transformation, Decision-making, Networks, Governance, Policy
learning
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Long et al. Urban Transformations
(2023) 5:9
Policy and practice recommendations
1. Invest in understanding the perspectives of key actors who make micro-level decisions on how cities respond to climate events and the relationships among these
actors.
2. Facilitate transformative governance by using careful institutional design that
increases diversity among decision-makers.
3. “Honest brokers” should focus on building and leveraging fungibility and trust as
they pursue transformation in multi-stakeholder governance networks.
Introduction
The increasing frequency and severity of societal disruptions diminish governments’
capacities to effectively serve their constituents. Disruptions render previous ways of
operating or delivering services ineffective and threaten social well-being (Millar et al.
2018). They thereby put into focus factors which raise the vulnerability of societies, or
specific societal groups. Existing policies and practices are fast becoming untenable in
the face of disruptions from compounding technological, environmental, and social
shocks (Phillips et al 2020; Head and Alford 2015). Governmental responses lie along
a continuum, from doing nothing to engaging in transformative change that fundamentally alters a system (Moser and Ekstrom 2010; O’Brien 2012; Marshall et al. 2012;
Rosenzweig and Solecki 2014).
Cascading disruptions reveal the limits of prevailing systems (Millar et al. 2018). They
simultaneously highlight the need for transformative urban governance and necessitate
its emergence. Transformations require social, technological, and policy innovations
adopted and realized across different systemic, geographic, and temporal scales. While
a variety of aims motivate calls for transformative governance, climate change and its
many associated disruptions have assumed a particular urgency in driving efforts to fundamentally and intentionally alter how governing systems function.
Cities are often ground zero for climate -change-related disruption and response. They
contribute as much as 70% of global greenhouse gas emissions (Boussalis et al. 2018;
Hunt and Watkiss 2011) and their residents are vulnerable to many climate changerelated hazards (Hobbie and Grimm 2020), both from slow-onset disasters such as
drought and rapid-onset disasters like flash floods. Moreover, urban systems are typically characterized by powerful interdependencies and tight coupling, such that a single
hazardous event can trigger cascading disruptions (e.g., infrastructure damage leading
to water and power shortages) (Perrow 2000).
At the same time, cities are a vanguard of climate protection policy (Krause et al. 2021;
Smeds and Acuto 2018; Watts 2017) and local control over land use, zoning, and building standards position them to develop meaningful initiatives (Einstein et al 2020; Boussalis et al 2018). New technologies, knowledge-sharing networks, and increasing wealth
concentrations in urban centers likewise enable cities to act as a key locus for addressing
climate change (Nguyen Long and Krause 2021; Acuto 2016). Cities are acting to protect
their residents and infrastructure from sudden shocks resulting from an unpredictable
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Long et al. Urban Transformations
(2023) 5:9
and changing climate. Not all cities, however, are confronting climate change with equal
vigor (Yeganeh et al. 2020; Hughes 2017). Rather than transform, some aim at preserving
old systems.
Considerable effort has been put into identifying the factors that facilitate municipal
climate leadership and innovation. For example, the so called ‘Lighthouse Cities’ in the
European Union, which are on the cutting edge of climate and energy innovation, are
typically characterized as h (...truncated)